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HHT就是先将信号进行经验模态分解（EMD分解），然后将分解后的每个IMF分量进行Hilbert变换，得到信号的时频属性的一种时频分析方法。
-HHT is the first signal empirical mode decomposition (EMD decomposition), then each IMF component decomposition of the Hilbert transform, time-frequency frequency analysis meth
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HHT就是先将信号进行经验模态分解（EMD分解），然后将分解后的每个IMF分量进行Hilbert变换，得到信号的时频属性的一种时频分析方法。-HHT is a first signal to carry on the empirical mode decomposition (EMD decomposition), and then decomposed each IMF component of the Hilbert transform, get signal time-frequency
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基于经验模态分解的c语言实现，包括求取包络，插值，等。对于信号分解有一个新的认识。-Based on Empirical Mode Decomposition c language, including strike envelope, interpolation, and the like. For the signal into a new understanding.
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. To solve the mode mixing problem, a noise‐assisted data analysis method called ensemble empirical mode decomposition (EEMD) is adopted instead of EMD. In this paper, the applications of EMD and EEMD on time–frequency analyzing behaviors were compar
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1998 and Huang et al., 1999 is a recently developed method used for analyzing the nonlinear and non-stationary signal. The supreme innovations of HHT are the establishment of the concept of intrinsic mode function (IMF) and importing of empirical mod
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COMPLETE ENSEMBLE EMPIRICAL MODE DECOMPOSITION
WITH ADAPTIVE NOISE
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empirical mode decomposition
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本文是通过经验模态分解对信号进行分解，判断出小麦的完好和虫蛀的情况。最后将分解的信号用支持向量机进行识别分类，得出识别精度。-This article is by empirical mode decomposition signal decomposition, it judged the situation well and insects of wheat. Finally, the decomposition of SVM signal recognition and classific
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利用matlab进行木材图像去噪的基本算法包含二维经验模态分解和一些经典去噪程序-The basic algorithm matlab to use timber that contains a two-dimensional image denoising empirical mode decomposition and some classical denoising program
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MATLAB platform based code for empirical mode decomposition.
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vmd经验模态分解，修正的vmd,有实际例子。-Vmd empirical mode decomposition, the revised vmd, there are practical examples.
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A COMPLETE ENSEMBLE EMPIRICAL MODE DECOMPOSITION
WITH ADAPTIVE NOISE
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基于经验模式分解提出的希尔伯特黄变换的程序运行，用于故障诊断信号处理-Based on empirical mode decomposition of the Hilbert Huang transform the procedure for the operation of the signal processing for fault diagnosis
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经验模态分解中出现端点效应，本程序对端点效应用波形匹配进行处理-End-point effects appear in empirical mode decomposition, and the program deals with end-point effects using waveform matching
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对非线性，非平稳信号进行处理的方法，即经验模态分解方法，处理效果好-The non-linear, non-stationary signal processing method, the empirical mode decomposition method, the treatment effect is good
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对经验模态分解的端点效应进行处理，本程序用镜像延拓方法-The empirical mode decomposition of the endpoint effect processing, the program uses the image extension method
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经验模态分解(Empirical Mode Decomposition,简称EMD)法是美籍华人N. E. Huang等人于1998年提出的，适合于分析非线性、非平稳信号序列，具有很高的信噪比。该方法的关键是经验模式分解，它能使复杂信号分解为有限个本征模函数(Intrinsic Mode Function，简称IMF)，所分解出来的各IMF分量包含了原信号的不同时间尺度的局部特征信号。-Empirical Mode Decomposition method (Empirical Mode Dec
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集合经验模式分解：噪声辅助数据分析方法-Ensemble Empirical Mode Decomposition: A noise-assisted data analysis method
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基于经验模态分解的变模态分解法，本源码是对其进行编程和仿真。-Based on the empirical mode decomposition of the modal decomposition method, the source code is its programming and simulation.
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经验模态分解程序，变分模态分解 程序。能够将多分量信号分解为若干个单分量信号。-Empirical Mode Decomposition Procedures, Variational Mode Decomposition and Decomposition Procedures. The multi-component signal can be decomposed into a number of single-component signals.
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